Triple
T20159971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALADI |
E491676
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ALADI |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ALADI | Statement: [ALADI, shortName, ALADI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALADI Context triple: [ALADI, shortName, ALADI]
-
A.
ALADI
chosen
ALADI is a regional intergovernmental organization that promotes economic integration and trade cooperation among Latin American countries.
-
B.
ALCA
ALCA is the Spanish and Portuguese acronym for the proposed Free Trade Area of the Americas, a regional trade agreement that aimed to eliminate or reduce trade barriers among countries in the Western Hemisphere.
-
C.
Aladja
Aladja is a town in Delta State, Nigeria, known as one of the major communities in the Udu area and for its industrial and riverine activities.
-
D.
ALI
ALI (the American Law Institute) is a leading independent U.S. legal organization known for producing influential scholarly works that clarify, modernize, and improve the law, including the Restatements of the Law.
-
E.
Alladi
Alladi is an Indian surname notably associated with the distinguished jurist and constitutional expert Alladi Krishnaswamy Iyer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e37c8c8190827839291027d9e2 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.